My friend works at the top level of Academic research on Artificial Intelligence and Deep Learning.

He told me the latest trend is for all Institutions to partake on competitions on who has the best system to suggest to you products to buy based on what other products you had looked at before.
It's all over; no robot wives for you; it's all about selling you product.

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  1. 1 year ago
    Anonymous

    Duh.
    If you needed to be told this you're fricking clueless to the scope this tech is being used for TODAY.

    • 1 year ago
      Anonymous

      Really? I was actually surprised myself. I thought that shit was done by now with all the money Google throws onto it and the Academics would have moved on to more exciting things by now.

      But I guess the money is so much on that area that even if it's already good: they want to squeeze as much out of it possible.

      • 1 year ago
        Anonymous

        You REALLY think they're going to stop the optimization process? Come the frick on anon, there is ALWAYS another dollar to squeeze out of you, another thing to have you believe that benefits the powers to be, another enemy to code your thoughts with.
        Like seriously, pause, stand up from your computer, and fricking think about it for a bit.

        • 1 year ago
          Anonymous

          Sure, but mathematically: after a point it might be un-improbable or almost. The top 10-20 results at a competition I saw were quite close so it might not be too far from that.

          • 1 year ago
            Anonymous

            >The top 10-20 results at a competition
            You really think this is limited to marketing products to you on Amazon and goggle search results? You really are an NPC

            • 1 year ago
              Anonymous

              You're stupid. Nobody told you that. Strawmans are common for narcissistic brainlets.

  2. 1 year ago
    Anonymous

    Is your friend in the room with you right now?

    • 1 year ago
      Anonymous

      no, at home with his wife and kids.

  3. 1 year ago
    Anonymous

    >people are working on advertising and product recommendation systems
    What the frick?????? Is this real????? Holy shit we need get this to the media immediately!!! The people need to know the truth!

    • 1 year ago
      Anonymous

      That wasn't what surprised me, but that academics already care too much about it (or at least he companies that sponsor them to do it). I imagined it was already "over-researched" but I guess I was wrong or at least the money people throwing money on it think I'm wrong (there's a chance they're stupid).

  4. 1 year ago
    Anonymous

    >latest trend
    Dude, I graduated from university in 2016, and we were already doing recommender systems contests back then.

    • 1 year ago
      Anonymous

      But that's the point. They still do that shit. I thought they'd be done by now.

      • 1 year ago
        Anonymous

        Why? Do they need to stop selling you stuff? Nvidia had a whole bit on this a few weeks ago. It's big money.

        https://www.nvidia.com/en-gb/industries/retail/recommendation-systems/

        • 1 year ago
          Anonymous

          no, but the algorithms needed may be too optimized to need improvement.

          NVIDIA came 3rd at a competition I saw (the 1st were chinese).

  5. 1 year ago
    Anonymous

    thank frick for that
    i thought they cared about weaponry

    • 1 year ago
      Anonymous

      >Thinks the ability to mold people's perceptions to buy a product can't also be used for mold them for politics, elections, world views, etc, etc
      LOL!

  6. 1 year ago
    Anonymous

    What's a "you product"?

  7. 1 year ago
    Anonymous

    Is that why Hasbro stocks are doing "so good" ?

  8. 1 year ago
    Anonymous

    >Muh collaborative filtering
    Welcome to 30+ years ago.

    • 1 year ago
      Anonymous

      you're stupid, they do it with neural networks now, and 30 years ago they didn't have the hardware.

  9. 1 year ago
    Anonymous

    >The 2019 cost of returned merchandise in the US was $309B. Online returns accounted for $41B of that total. To reduce the number of returns and provide a more enhanced shopping experience, retailers can now suggest items to customers that are virtually guaranteed to fit.

    See. Big money.

    • 1 year ago
      Anonymous

      that's more of a problem of people not knowing how to measure themselves against the instructions.
      I routinely get shit from china and they always fit.

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